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Torres-Rua A, Nieto H, Parry C, et al. Inter-comparison of thermal measurements using ground-based sensors, UAV thermal cameras, and eddy covariance radiometers. Proc SPIE Int Soc Opt Eng. 2018;10664doi: 10.1117/12.2305832.
Torres-Rua, A., Nieto, H., Parry, C., Elarab, M., Collatz, W., Coopmans, C., McKee, L., McKee, M., & Kustas, W. (2018). Inter-comparison of thermal measurements using ground-based sensors, UAV thermal cameras, and eddy covariance radiometers. Proceedings of SPIE--the International Society for Optical Engineering, 10664. https://doi.org/10.1117/12.2305832
Torres-Rua, Alfonso, et al. "Inter-comparison of thermal measurements using ground-based sensors, UAV thermal cameras, and eddy covariance radiometers." Proceedings of SPIE--the International Society for Optical Engineering vol. 10664 (2018). doi: https://doi.org/10.1117/12.2305832
Torres-Rua A, Nieto H, Parry C, Elarab M, Collatz W, Coopmans C, McKee L, McKee M, Kustas W. Inter-comparison of thermal measurements using ground-based sensors, UAV thermal cameras, and eddy covariance radiometers. Proc SPIE Int Soc Opt Eng. 2018 Jul 30;10664. doi: 10.1117/12.2305832. Epub 2018 Jul 16. PMID: 31024191; PMCID: PMC6476550.
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Proc SPIE Int Soc Opt Eng. 2018 Jul 30;10664. doi: 10.1117/12.2305832. Epub 2018 Jul 16.

Inter-comparison of thermal measurements using ground-based sensors, UAV thermal cameras, and eddy covariance radiometers.

Proceedings of SPIE--the International Society for Optical Engineering

Alfonso Torres-Rua, Hector Nieto, Christopher Parry, Manal Elarab, Wesley Collatz, Calvin Coopmans, Lynn McKee, Mac McKee, William Kustas

Affiliations

  1. Utah Water Research Laboratory.
  2. IRTA (Institute for Food and Agricultural Research and Technology).
  3. USDA-ARS Hydrology & Remote Sensing Lab.
  4. MicaSense Inc.
  5. UC Davis Viticulture & Enology.

PMID: 31024191 PMCID: PMC6476550 DOI: 10.1117/12.2305832

Abstract

With the increasing availability of thermal proximity sensors, UAV-borne cameras, and eddy covariance radiometers there may be an assumption that information produced by these sensors is interchangeable or compatible. This assumption is often held for estimation of agricultural parameters such as canopy and soil temperature, energy balance components, and evapotranspiration. Nevertheless, environmental conditions, calibration, and ground settings may affect the relationship between measurements from each of these thermal sensors. This work presents a comparison between proximity infrared radiometer (IRT) sensors, microbolometer thermal cameras used in UAVs, and thermal radiometers used in eddy covariance towers in an agricultural setting. The information was collected in the 2015 and 2016 irrigation seasons at a commercial vineyard located in California for the USDA Agricultural Research Service Grape Remote Sensing Atmospheric Profile and Evapotranspiration Experiment (GRAPEX) Program. Information was captured at different times during diurnal cycles, and IRT and radiometer footprint areas were calculated for comparison with UAV thermal raster information. Issues such as sensor accuracy, the location of IRT sensors, diurnal temperature changes, and surface characterizations are presented.

Keywords: UAV; high-resolution; proximity sensors; sensor comparison; surface temperature; thermal sensors

References

  1. Sensors (Basel). 2017 Jun 26;17(7): - PubMed

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